Digital content competition review method

Abstract

A digital content competition review method includes the competition review application captures user behavior tags based on user accounts, and by using a category tag of a plurality of digital contents corresponding to the user behavior tag as a screening condition, screens out those digital contents from the database sends it to a group pairing unit; conducts a plurality of group pairings for those digital contents, and transmits those group pairings to the competition review application; and displays the group pairing through a PK page on a display screen of the terminal device for the user to execute a voting behavior; based on the voting behavior, computes a team popularity of a competing team that the voted digital content belongs to, and computes a popularity contribution of the user to the team popularity of the competing team, and sends them back to a score result page.

1 . A digital content competition review method, the method includes:
 a platform server receives a user account sent by a user through a login page of a competition review application on a terminal device;   based on the user account, the platform server extracts a user behavior tag saved in a database, and by using a category tag of a plurality of digital contents corresponding to the user behavior tag as a screening condition, screens out those digital contents from the database sends it to a group pairing unit;   based on a pairing method, the group pairing unit conducts a plurality of group pairings for those digital contents, and transmits those group pairings to the competition review application according to different groups;   a competition review cycle is started, in which the competition review application receives a first group pairing transmitted by the group pairing unit, and displays the first group pairing through a PK page on a display screen of the terminal device, and meanwhile displays a timing indicator and a plurality of voting indicators of those digital contents corresponding to the first group pairing, those voting indicators are for the user to execute a voting behavior;   if the competition review application detects the voting behavior of the user, it will transmit the voting behavior to a computing unit;   based on the voting behavior in the competition review cycle, the computing unit computes a team popularity of a competing team that the voted digital content belongs to, and further computes a popularity contribution of the user to the team popularity of the competing team, and sends them back to a score result page of the competition review application to complete the competition review cycle;   the competition review cycle is repeated till all of those group pairings are displayed on the PK page.   
     
     
         2 . The digital content competition review method defined in  claim 1 , wherein, the competition review application monitors the timing indicator, if a time limit is reached but no the voting behavior by the user is detected, then the competition review application will immediately execute a punishment model, the punishment model includes postponing the display of the next group pairing on the PK page and hiding the score result page in a way that the score result page is blurred out on the display screen. 
     
     
         3 . The digital content competition review method defined in  claim 1 , wherein, during the competition review cycle, the competing team can continuously upload new those digital contents, the competition review application will update those digital contents in the database, and the group pairing unit will conduct group pairings for the new those digital contents. 
     
     
         4 . The digital content competition review method defined in  claim 1 , wherein, the voting behavior further includes a voting reaction time, and the computing unit will further conduct a user behavior statistical analysis based on the user's the voting behavior and the history record and update the user behavior tag of the user. 
     
     
         5 . The digital content competition review method defined in  claim 1 , wherein, those voting indicators further includes credits, tokens, and gifts, which can be selected by the user after completing the voting to support the creators of the digital contents that the user likes, or to increase the popularity score of the team. 
     
     
         6 . The digital content competition review method defined in  claim 1 , wherein, the category tags and the user behavior tags have correlations, a first-layer category tag includes images, photos, videos, texts, audios, and contents imported from external platforms, a second-layer category tag includes NFT, games, songs, illustrations, maps, drawings, sports, matches, astronomy and nature. 
     
     
         7 . The digital content competition review method defined in  claim 6 , wherein, the pairing method firstly conducts pairing between those digital contents of the same category tag according to the second-layer category tag, if those group pairings is insufficient, then conducts pairing between those digital contents of the same category tag according to the first-layer category tag. 
     
     
         8 . The digital content competition review method defined in  claim 1 , wherein, those digital contents are uploaded to the platform server by the users who are designated by the competition review application to a competing team, the platform server will categorize those digital contents based on a labeling and classifying method, and associate those digital contents to the category tag and save it to the database according to corresponding the competing team. 
     
     
         9 . The digital content competition review method defined in  claim 1 , wherein, the pairing method conducts pairing after excluding those digital contents uploaded by the same user and/or user members belonging to the competing team. 
     
     
         10 . The digital content competition review method defined in  claim 1 , wherein, the user accumulates the competition review cycle, once a specific number of cycles is reached, special functions of the competition review application can be unlocked, for example: watching competitions of special themes, gaining tokens, providing preferential prices to buy paid functions of the platform, and added personal ranking scores.